Zobrazeno 1 - 6
of 6
pro vyhledávání: '"KSDA"'
Autor:
Florist Terdekat
Jual Karangan Bunga Papan dekat Kantor KSDA Ende Pesan & Kirim Karangan Bunga 24 Jam Online Terdekat dengan Lokasi Anda. Florist Standing Papan Bunga untuk ucapan selamat & sukses atas pernikahan, graduation, HUT, pelantikan, Wisuda, HUT, Opening, Me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4659b997bd000bd85e3907282558147
Publikováno v:
Sensors, Vol 12, Iss 5, Pp 5551-5571 (2012)
When extracting discriminative features from multimodal data, current methods rarely concern themselves with the data distribution. In this paper, we present an assumption that is consistent with the viewpoint of discrimination, that is, a person’s
Externí odkaz:
https://doaj.org/article/16249c62203842a4ba0273444112a955
Autor:
Srinivasan, Ramprakash
By combining different facial muscle actions, called Action Units (AUs), humans can produce an extraordinarily large number of facial expressions. Computational models and studies in cognitive science have long hypothesized the brain needs to visuall
Autor:
Markatopoulou, F., Moumtzidou, A., Galanopoulos, D., Mironidis, T., Kaltsa, V., Ioannidou, A., Symeonidis, S., Avgerinakis, K., Andreadis, S., Gialampoukidis, I., Stefanos Vrochidis, Briassouli, A., Mezaris, V., Kompatsiaris, I., Patras, I.
Publikováno v:
Scopus-Elsevier
Proceedings TRECVID 2016 Workshop
TRECVID 2016
Proceedings TRECVID 2016 Workshop
TRECVID 2016
This paper provides an overview of the runs submitted to TRECVID 2016 by ITI-CERTH. ITI-CERTH participated in the Ad-hoc Video Search (AVS), Multimedia Event Detection (MED), Instance Search (INS) and Surveillance Event Detection (SED) tasks. Our AVS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab4bfe66fa369e9bff7527a11ee187d6
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 12
Issue 5
Pages 5551-5571
Sensors, Vol 12, Iss 5, Pp 5551-5571 (2012)
Sensors
Volume 12
Issue 5
Pages 5551-5571
Sensors, Vol 12, Iss 5, Pp 5551-5571 (2012)
When extracting discriminative features from multimodal data, current methods rarely concern themselves with the data distribution. In this paper, we present an assumption that is consistent with the viewpoint of discrimination, that is, a person’s
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